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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 10966
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    INDEX
    Explanations

    words related to positivity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to positivity and positive outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ptin
    -0.86
    uble
    -0.85
    plain
    -0.83
    appings
    -0.81
    puter
    -0.80
    ometimes
    -0.80
    ngth
    -0.79
    Hide
    -0.78
    ĸļ
    -0.78
    hyde
    -0.78
    POSITIVE LOGITS
     reinforcement
    1.25
     feedback
    1.13
     vib
    1.09
     outlook
    1.04
     outcome
    1.00
     attitude
    0.98
     outcomes
    0.97
     affirm
    0.95
     gearing
    0.94
     portrayal
    0.93
    Activations Density 0.040%

    No Known Activations